Posts Tagged ‘Data Interoperability’

What’s Real In Personalized Mobile Healthcare

rsz_rxNews came this week that a man accused of defrauding a financial group out of close to a million dollars around an investment in a fictional mobile medical device tablet is scheduled to sign a plea agreement admitting that he committed mail fraud. The man, Howard Leventhal, had been promoting the Star Trek-influenced McCoy Home Health Care Tablet as a device that can instantaneously deliver detailed patient information to medical providers. (The product is discussed on the company’s still-surviving web site here.) He was arrested for the fraud in October and has been out on bail.

The interesting thing about this case is that the fake he was perpetrating isn’t very far removed from reality regarding the role mobile apps and systems will play in healthcare. There of course are plenty of mobile apps already available that help users do everything from monitoring their hearts to recording their blood-oxygen level during the night to see whether they have sleep apnea. Research and Markets, for example, says the wireless health market currently will grow to nearly $60 billion by 2018, up from $23.8 billion, with remote patient monitoring applications and diagnostics helping to drive the growth. But where things really get interesting is when mobile health takes on questions of semantic interoperability of accumulated data, and assessing its meaning.

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Research Data Alliance Sees Semantics As Key To Helping Research Communities Get The Most From Their Data

The Research Data Alliance (RDA) was recently formed with the goal of accelerating international data-driven innovation and discovery. It aims to get there by facilitating the sharing and exchange of research data, its use and re-use, standards harmonization, and discoverability.

Funded by The Australian Commonwealth Government through the Australian National Data Service, the European Commission through the iCordi project under the 7th Framework Program, and the U.S. through the RDA/US activity supported by the National Science Foundation, it began its work last August when it established an international steering group with these funds. In March, it held its first plenary meeting and had its official launch.

Dr. Francine Berman, Professor of Computer Science, Rensselaer Polytechnic Institute, is Chair of the Research Data Alliance/U.S. The Semantic Web Blog recently conducted a  Q&A with her to learn more about RDA plans:

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Callimachus Update Has Big Implications for Data Interoperability

Callimachus is getting an update. It’s been quiet for a few months over at the framework for data-driven applications based on Linked Data principles, but with good reason, says David Wood, CTO of Callimachus project sponsor 3 Round Stones. 3 Round Stones also offers Callimachus Enterprise, winner of this year’s Startup Competition at the Semantic Technology and Business Conference in San Francisco.

Big things were on the menu for this release, which should emerge from beta today. To date, all the RDF that Callimachus has dealt with has been local to it, Wood explains. “People have been saying for ages, ‘But I don’t want to copy the LOD cloud into Callimachus to deal with it. I want to deal with a lot of data out there in the world, in enterprise systems, an Oracle server, or the LOD cloud,” he says.

The new release takes on the challenge of dealing with data that’s external to Callimachus.

Read more on Data Interoperability

Ian Coady has posted an article on regarding data interoperability. Coady writes, “At first glance, publishing statistical data has always appeared to sit quite nicely with the principles of data transparency. Statistics are all about taking an observation and linking it to other attributes such as classifications or geographies. Statistics are also about making data available, and the UKSA publication hub has been making UK level statistics available for many years. So if statistical agencies have it all figured out, where is the challenge?” Read more

Measuring Semantic Technology Adoption

I decided to conduct an informal survey in an attempt to gauge the current level of adoption and growth potential for Semantic Technology as an industry vertical. The results indicate to me that while progress is being made we still need to do a better job of delivering the message – this messaging problem is the number one reason why adoption of Semantic Technologies and Semantic Methodologies is proceeding slower than we had anticipated. 

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Intelligent Healthcare – Part 1

Integration is more than the coding of application or data interfaces. When dealing with complex integration within or across enterprises, there must be sufficient discipline to achieve reproducible results. Furthermore, that discipline must be tailored to the unique requirements of the domain/s in question. Few domains are as complex as Healthcare. Even more important perhaps is that integration cannot be viewed outside of the context of the outcomes within the domains they are meant to serve. Technical success may not translate to process or performance improvement if the relationships between domain goals and enabling technologies aren’t properly understood. Some of the basic concepts associated with our IH include the following:

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